Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ChiJuiChen/Bert-Lab4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChiJuiChen/Bert-Lab4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChiJuiChen/Bert-Lab4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ChiJuiChen/Bert-Lab4") model = AutoModelForSequenceClassification.from_pretrained("ChiJuiChen/Bert-Lab4") - Notebooks
- Google Colab
- Kaggle
add model dataset and colab links
Browse files
README.md
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## Training and evaluation data
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## How to use
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## Training and evaluation data
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We use 100 data from the glue/sst2, since we train on Colab.
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https://drive.google.com/file/d/1Ej0-bDkfXmlNPynypS-xDbEEGK9hI06l/view?usp=sharing
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## How to use
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